Main
Dinesh Ladi
I have 5 years of experience in data analyses, machine learning, NLP and data visualization. Conceptualized and built a data tool within a span of 4 months and sold it to one of the unicorns in the country. Spoke at DataBricks and Seoul AI Summits.
Currently looking for a data science role where I can help companies/people leverage data to make better decisions using data analyses, machine learning and data visualization
Conferences
Conversational AI using transformer models
Seoul AI Summit 2020
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Conversational AI with transformer models
DataBricks Data + AI Summit North America Chapter 2021
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Industry Experience
Data Scientist
Walmart Global Tech
Bangalore, India
2021 - 2020
Project:Build Continuous Model Monitoring
- Solution: Generate model diagnsotics reports and dashboards to identify anomalous/unexpected performance of models in the system. And also create triggers to create a JIRA ticket whenever the performance of a model is subpar
- Benefit: The solution helped in identifying the data drift and model drift
Project: Intent Classification
- Business problem: Improve associate experience while using chatbot
- Solution: Build classifiers by finetuning DistilBERT embeddings for intent classification
- Benefit: The solution improved the chatbot in identifying the intent of the user
Project: Optimization of bags usage at Walmart stores
- Solution: Use bin packing algorithms to identify optimal bags to be used at store checkout counters
- Benefit: The solution helped in identifying the stores with high over-usage of bags and keep on check on the same
Project: Curation of Associate Ideas using NLP
- Solution: Building a system to filter and group high quality ideas using topic modeling on S-BERT embeddings of user ideas
- Benefit: The solution will make sure that the higher management gets high quality distinct ideas that can further reviewed for implementation
Data Scientist
Actify Data Labs
Bangalore, India
2020 - 2018
Project: Crop Classification using Satellite Imagery
- Business problem: Classification of various crops using Satellite Imagery
- Solution: Built a pipeline to create spectral indices using satellite images, create features on top of the spectral indices, train models and score the models on new satellite images
- Benefit: Reduced huge number of man-hours taken to identify and geospatial labeling of crops across various regions in the country. Manual geolabelling of crops for each district takes around 4-5 man hours. Reduced it down to less than 1 hour without compromising precision and recall
Product Engineering and Management: Interactive Decision Tree
- Developed an interactive drag and drop decision tree tool for segmentation of data for business users. The features include delete, add, cut and copy a subtree from the tree and export the rules to segment the data
- Conceptualized, designed and developed the complete product module including algorithm design, UI design and scalability for larger data
- The product is sold to one of the cab sharing unicorn in the country
Analytics Specialist
Opera Solutions
Delhi, India
2018 - 2017
Project: Revenue Management
- Problem: Identification of revenue leakage during billing for US healthcare providers.
- Solution: Development of an ensemble of Random Forest and Logistic Regression to identify potential revenue items that are missing from a given bill and provide recommendations to the front line accounts.
- Benefit: More than 85 % of the recommendations were correct in identifying missed bill items. This led to significant revenue enhancement for the health care providers.
Analyst
Cognizant Technology Solutions
Chennai, India
2017 - 2016
Project: Ad-Viewership Analytics
- Problem: Estimation of ad spend effectiveness for a major US telecom giant.
- Solution: Built data pipelines to curate, consolidate and process ad-viewership data across all viewing channels
Education
Bachelor’s and Master’s
IIT Bombay
Bombay, India
2016 - 2011
- Energy Science and Engineering. GPA 8.04/10